The big R-book from data science to learning machines for the professional
"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use. The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics...
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| Format: | eBook |
| Language: | English |
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Hoboken, NJ, USA
Wiley
2020
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use. The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"-- |
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| Physical Description: | 1 online resource |
| ISBN: | 1119632757 9781119632757 1119632765 9781119632764 |